C.3. Software Engineering
Accuracy Improvement in Software Cost Estimation based on Selection of Relevant Features of Homogeneous Clusters

Saba Beiranvand; Mohammad Ali Zare Chahooki

Volume 11, Issue 3 , July 2023, , Pages 453-476

https://doi.org/10.22044/jadm.2023.12750.2429

Abstract
  Software Cost Estimation (SCE) is one of the most widely used and effective activities in project management. In machine learning methods, some features have adverse effects on accuracy. Thus, preprocessing methods based on reducing non-effective features can improve accuracy in these methods. In clustering ...  Read More

C.3. Software Engineering
A Hybrid Meta-heuristic Approach to Cope with State Space Explosion in Model Checking Technique for Deadlock Freeness

N. Rezaee; H. Momeni

Volume 8, Issue 2 , April 2020, , Pages 189-199

https://doi.org/10.22044/jadm.2019.7564.1900

Abstract
  Model checking is an automatic technique for software verification through which all reachable states are generated from an initial state to finding errors and desirable patterns. In the model checking approach, the behavior and structure of system should be modeled. Graph transformation system is a ...  Read More

C.3. Software Engineering
Optimizing Cost Function in Imperialist Competitive Algorithm for Path Coverage Problem in Software Testing

M. A. Saadtjoo; S. M. Babamir

Volume 6, Issue 2 , July 2018, , Pages 375-385

https://doi.org/10.22044/jadm.2017.5015.1603

Abstract
  Search-based optimization methods have been used for software engineering activities such as software testing. In the field of software testing, search-based test data generation refers to application of meta-heuristic optimization methods to generate test data that cover the code space of a program. ...  Read More

C.3. Software Engineering
Evaluation of Classifiers in Software Fault-Proneness Prediction

F. Karimian; S. M. Babamir

Volume 5, Issue 2 , July 2017, , Pages 149-167

https://doi.org/10.22044/jadm.2016.825

Abstract
  Reliability of software counts on its fault-prone modules. This means that the less software consists of fault-prone units the more we may trust it. Therefore, if we are able to predict the number of fault-prone modules of software, it will be possible to judge the software reliability. In predicting ...  Read More

C.3. Software Engineering
Method integration: An approach to develop agent oriented methodologies

E. Ghandehari; F. Saadatjoo; M. A. Zare Chahooki

Volume 3, Issue 1 , March 2015, , Pages 59-76

https://doi.org/10.5829/idosi.JAIDM.2015.03.01.07

Abstract
  Agent oriented software engineering (AOSE) is an emerging field in computer science  and  proposes some systematic ideas for multi agent systems analysis, implementation and maintenance. Despite the various methodologies introduced in the agent-oriented software engineering, the main challenges ...  Read More